Tal Pecht

2.9k citations
18 papers · 543 · h-index 12

Impact in

  • Physiology top 10%
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies
    • Adipokines, Inflammation, and Metabolic Diseases
    • Autophagy in Disease and Therapy

Papers in

    • Adipokines, Inflammation, and Metabolic Diseases 8
    • Autophagy in Disease and Therapy 2
    • Adipose Tissue and Metabolism 7
    • Diet and metabolism studies 2

Tal Pecht

18 papers receiving 532 citations

Peers

Tal Pecht
Comparison fields: 5 of 92
  • Physiology 210
  • Epidemiology 214
  • Immunology 111
  • Endocrinology, Diabetes and Metabolism 50
  • Nutrition and Dietetics 43
Replace Emily K. Anderson‐Baucum with:
Emily K. Anderson‐Baucum United States
Itsaso García‐Arcos United States
F Rassoul Germany
Stefania Ronzoni Canada
Tuyet Thi Nguyen South Korea
Laurie Bernstein United States
Rick Chin Canada
Nicolai Worm Germany
Sílvia Paredes Spain
David Gable United Kingdom
Tal Pecht relative to Emily K. Anderson‐Baucum United States Emily K. Anderson‐Baucum's profile →
Citations per field
00.5×1.5×
Emily K. Anderson‐Baucum · 1×
Citations per year

Countries citing papers authored by Tal Pecht

Since Specialization
Citations

This map shows the geographic impact of Tal Pecht's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tal Pecht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tal Pecht more than expected).

Fields of papers citing papers by Tal Pecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tal Pecht. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tal Pecht. The network helps show where Tal Pecht may publish in the future.

Co-authors

The 25 scholars most cited alongside Tal Pecht, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tal Pecht Line = papers co-authored together Tal Pecht links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201399
2 201797
3 201376
4 202260
5 202144
6 201631
7 201630
8 201820
9 202019
10 201717
11 202013
12 201911
13 20198
14 20247
15 20196
16 20233
17 20231
18 20221

About Tal Pecht

Tal Pecht is a scholar working on Epidemiology, Physiology, Cardiology and Cardiovascular Medicine, Immunology and Molecular Biology, having authored 18 papers that have together received 543 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (8 papers), Adipose Tissue and Metabolism (7 papers), Cardiovascular Disease and Adiposity (3 papers), Lipid metabolism and biosynthesis (2 papers), Fibroblast Growth Factor Research (2 papers), Diet and metabolism studies (2 papers), Autophagy in Disease and Therapy (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Physiology (210 citations), Epidemiology (214 citations), Immunology (111 citations), Endocrinology, Diabetes and Metabolism (50 citations) and Nutrition and Dietetics (43 citations). Tal Pecht has collaborated with scholars based in Germany, Israel and Netherlands. Frequent co-authors include Assaf Rudich, Nava Bashan, Boris Kirshtein, Hagit Shapiro, Yulia Haim, Iris Shai, Ilana Harman‐Boehm, Matthias Blüher, Ruthy Shaco‐Levy and Yael Kuperman. Their work appears in journals such as European Journal of Immunology, Obesity Reviews, Journal of Thrombosis and Haemostasis, Journal of Endocrinology and Diabetes.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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